A critical security vulnerability has been disclosed in SGLang that, if successfully exploited, could result in remote code execution on susceptible systems. The vulnerability, tracked as CVE-2026-5760, carries a CVSS score of 9.8 out of 10.0. It has been described as a case of command injection leading to the execution of arbitrary code. SGLang is a high-performance, open-source serving

Monday’s recap shows the same pattern in different places. A third-party tool becomes a way in, then leads to internal access. A trusted download path is briefly swapped to deliver malware. Browser extensions act normally while pulling data and running code. Even update channels are used to push payloads. It’s not breaking systems—it’s bending trust. There’s also a shift in how attacks run.

The fastest way to fall in love with an AI tool is to watch the demo. Everything moves quickly. Prompts land cleanly. The system produces impressive outputs in seconds. It feels like the beginning of a new era for your team. But most AI initiatives don't fail because of bad technology. They stall because what worked in the demo doesn't survive contact with real operations. The gap between a

Cybersecurity researchers have discovered a critical "by design" weakness in the Model Context Protocol's (MCP) architecture that could pave the way for remote code execution and have a cascading effect on the artificial intelligence (AI) supply chain. "This flaw enables Arbitrary Command Execution (RCE) on any system running a vulnerable MCP implementation, granting attackers direct access to

Cybersecurity researchers have flagged a new malware called ZionSiphon that appears to be specifically designed to target Israeli water treatment and desalination systems. The malware has been codenamed ZionSiphon by Darktrace, highlighting its ability to set up persistence, tamper with local configuration files, and scan for operational technology (OT)-relevant services on the local subnet.